% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37930 % Primary Name: WELLESLEY % Record Type: TAVG % Country: United States % State: MA % Latitude: 42.28330 +/- 0.00005 % Longitude: -71.33330 +/- 0.00005 % Elevation (m): 48.77 +/- 0.15 % # of Months: 101 % % Alternate Names: Missing Station ID - 198960 % % IDs: coop - 198960 % ghcnd - USC00198960 % ncdc - 12002482 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: e4e3bfa8215523c1b7155e2f518f6f4a % Raw Data Hash: 2f77a632a493273cb5ef6175c77ac416 % Adj Data Hash: 7305e20d62715372c1bd144ab8a25ce7 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1884 4 NaN NaN NaN NaN NaN NaN 5.692 -1.314 1884 5 NaN NaN NaN NaN NaN NaN 11.843 -1.391 1884 6 NaN NaN NaN NaN NaN NaN 18.324 0.030 1884 7 NaN NaN NaN NaN NaN NaN 18.834 -2.154 1884 8 NaN NaN NaN NaN NaN NaN 19.144 -0.685 1884 9 NaN NaN NaN NaN NaN NaN 16.410 0.979 1884 10 NaN NaN NaN NaN NaN NaN 8.755 -0.642 1884 11 NaN NaN NaN NaN NaN NaN 2.764 -0.905 1884 12 NaN NaN NaN NaN NaN NaN -3.666 -0.327 1885 1 NaN NaN NaN NaN NaN NaN -6.351 -0.606 1885 2 NaN NaN NaN NaN NaN NaN -10.298 -5.631 1885 3 NaN NaN NaN NaN NaN NaN -5.276 -5.859 1885 4 8.211 -0.391 0 0 8.211 -0.391 6.731 -0.275 1885 5 NaN NaN NaN NaN NaN NaN 11.734 -1.499 1885 6 NaN NaN NaN NaN NaN NaN 17.992 -0.303 1885 7 NaN NaN NaN NaN NaN NaN 21.071 0.083 1885 8 19.142 -2.282 0 0 19.142 -2.282 18.309 -1.520 1885 9 15.100 -1.927 0 0 15.100 -1.927 13.398 -2.034 1885 10 10.089 -0.904 0 0 10.089 -0.904 8.454 -0.944 1885 11 6.169 0.905 1 0 NaN NaN 3.921 0.252 1885 12 NaN NaN NaN NaN NaN NaN -3.553 -0.214 1886 1 -4.581 -0.432 1 0 NaN NaN -6.644 -0.899 1886 2 -2.416 0.655 0 0 -2.416 0.655 -6.373 -1.706 1886 3 -0.087 -2.265 1 0 NaN NaN -1.035 -1.618 1886 4 8.208 -0.393 0 0 8.208 -0.393 8.599 1.593 1886 5 13.637 -1.192 0 0 13.637 -1.192 12.725 -0.508 1886 6 16.818 -3.072 0 0 16.818 -3.072 16.431 -1.864 1886 7 21.227 -1.355 0 0 21.227 -1.355 20.188 -0.799 1886 8 19.342 -2.082 0 0 19.342 -2.082 18.696 -1.133 1886 9 15.965 -1.062 0 0 15.965 -1.062 14.946 -0.485 1886 10 10.115 -0.879 0 0 10.115 -0.879 8.804 -0.594 1886 11 4.844 -0.420 0 0 4.844 -0.420 3.665 -0.004 1886 12 -2.425 -0.682 0 0 -2.425 -0.682 -6.371 -3.032 1887 1 -5.618 -1.469 0 0 -5.618 -1.469 -7.848 -2.103 1887 2 -2.594 0.478 0 0 -2.594 0.478 -5.191 -0.524 1887 3 -0.885 -3.063 0 0 -0.885 -3.063 -2.906 -3.489 1887 4 6.513 -2.088 1 0 NaN NaN 4.677 -2.329 1887 5 14.868 0.039 0 0 14.868 0.039 15.091 1.858 1887 6 17.792 -2.099 0 0 17.792 -2.099 17.661 -0.634 1887 7 23.611 1.029 1 0 NaN NaN 22.781 1.794 1887 8 19.142 -2.282 0 0 19.142 -2.282 17.970 -1.859 1887 9 NaN NaN NaN NaN NaN NaN 12.907 -2.524 1887 10 9.484 -1.509 0 0 9.484 -1.509 7.870 -1.528 1887 11 7.298 2.034 1 0 NaN NaN 2.739 -0.929 1887 12 -1.413 0.331 0 0 -1.413 0.331 -4.037 -0.698 1888 1 -7.103 -2.954 0 0 -7.103 -2.954 -10.786 -5.042 1888 2 -3.201 -0.130 0 0 -3.201 -0.130 -6.124 -1.457 1888 3 -0.683 -2.862 0 0 -0.683 -2.862 -3.044 -3.627 1888 4 NaN NaN NaN NaN NaN NaN 3.926 -3.080 1888 5 11.198 -3.631 1 0 NaN NaN 11.354 -1.879 1888 6 18.488 -1.402 0 0 18.488 -1.402 18.038 -0.257 1888 7 18.869 -3.713 0 0 18.869 -3.713 18.797 -2.190 1888 8 20.408 -1.016 0 0 20.408 -1.016 19.075 -0.754 1888 9 15.009 -2.018 0 0 15.009 -2.018 13.310 -2.122 1888 10 7.390 -3.603 0 0 7.390 -3.603 5.547 -3.851 1888 11 4.325 -0.939 1 0 NaN NaN 3.696 0.027 1888 12 0.750 2.493 0 0 0.750 2.493 -2.942 0.397 1889 1 1.133 5.282 1 0 NaN NaN -2.272 3.472 1889 2 -3.861 -0.789 0 0 -3.861 -0.789 -7.276 -2.609 1889 3 2.911 0.732 0 0 2.911 0.732 1.103 0.520 1889 4 9.175 0.574 0 0 9.175 0.574 7.716 0.710 1889 5 16.477 1.649 0 0 16.477 1.649 14.543 1.310 1889 6 20.728 0.838 1 0 NaN NaN 18.682 0.387 1889 7 20.589 -1.994 0 0 20.589 -1.994 19.688 -1.299 1889 8 18.529 -2.896 0 0 18.529 -2.896 17.871 -1.958 1889 9 NaN NaN NaN NaN NaN NaN 15.345 -0.087 1889 10 NaN NaN NaN NaN NaN NaN 6.737 -2.660 1889 11 6.621 1.357 0 0 6.621 1.357 4.559 0.890 1889 12 2.010 3.753 0 0 2.010 3.753 -1.033 2.306 1890 1 -0.196 3.954 1 0 NaN NaN -2.903 2.842 1890 2 1.079 4.150 0 0 1.079 4.150 -2.397 2.270 1890 3 0.852 -1.327 0 0 0.852 -1.327 -1.478 -2.061 1890 4 7.864 -0.737 1 0 NaN NaN 6.251 -0.755 1890 5 NaN NaN NaN NaN NaN NaN 12.619 -0.614 1890 6 17.883 -2.007 0 0 17.883 -2.007 16.997 -1.298 1890 7 21.144 -1.439 0 0 21.144 -1.439 19.908 -1.079 1890 8 20.281 -1.144 0 0 20.281 -1.144 18.722 -1.106 1890 9 17.060 0.033 0 0 17.060 0.033 14.863 -0.569 1890 10 8.935 -2.058 0 0 8.935 -2.058 7.706 -1.691 1890 11 4.643 -0.621 0 0 4.643 -0.621 2.446 -1.222 1890 12 -2.756 -1.013 0 0 -2.756 -1.013 -7.944 -4.605 1891 1 -1.702 2.448 0 0 -1.702 2.448 -4.531 1.214 1891 2 -0.462 2.609 0 0 -0.462 2.609 -3.565 1.102 1891 3 0.446 -1.732 0 0 0.446 -1.732 -1.021 -1.604 1891 4 9.918 1.316 0 0 9.918 1.316 7.426 0.421 1891 5 12.964 -1.864 1 0 NaN NaN 11.938 -1.296 1891 6 18.278 -1.613 0 0 18.278 -1.613 17.406 -0.889 1891 7 18.534 -4.049 0 0 18.534 -4.049 18.712 -2.275 1891 8 20.263 -1.161 0 0 20.263 -1.161 19.611 -0.217 1891 9 18.465 1.438 1 0 NaN NaN 17.027 1.595 1891 10 NaN NaN NaN NaN NaN NaN 7.899 -1.498 1891 11 2.693 -2.571 1 0 NaN NaN 2.676 -0.993 1891 12 3.413 5.157 0 0 3.413 5.157 0.409 3.748 1892 1 -3.552 0.597 0 0 -3.552 0.597 -5.608 0.137 1892 2 -3.854 -0.782 1 0 NaN NaN -4.690 -0.023 1892 3 -1.113 -3.291 0 0 -1.113 -3.291 -1.887 -2.470 1892 4 7.302 -1.300 0 0 7.302 -1.300 6.668 -0.338 1892 5 11.286 -3.543 0 0 11.286 -3.543 11.756 -1.477 1892 6 19.356 -0.535 1 0 NaN NaN 19.636 1.341 1892 7 20.639 -1.944 0 0 20.639 -1.944 20.731 -0.256 1892 8 17.136 -4.289 1 0 NaN NaN 19.502 -0.327 1892 9 NaN NaN NaN NaN NaN NaN 14.400 -1.032 1892 10 9.588 -1.405 0 0 9.588 -1.405 8.379 -1.018 1892 11 3.690 -1.574 0 0 3.690 -1.574 2.808 -0.861 1892 12 -3.046 -1.302 0 0 -3.046 -1.302 -5.351 -2.012 1893 1 -10.041 -5.892 0 0 -10.041 -5.892 -10.011 -4.266 1893 2 -4.538 -1.466 0 0 -4.538 -1.466 -6.301 -1.634 1893 3 -1.262 -3.441 0 0 -1.262 -3.441 -1.588 -2.171 1893 4 7.718 -0.883 0 0 7.718 -0.883 4.902 -2.104 1893 5 13.690 -1.138 0 0 13.690 -1.138 12.433 -0.800 1893 6 18.793 -1.097 0 0 18.793 -1.097 18.205 -0.090 1893 7 20.694 -1.888 0 0 20.694 -1.888 19.858 -1.129 1893 8 19.318 -2.107 0 0 19.318 -2.107 19.427 -0.401 1893 9 14.000 -3.027 1 0 NaN NaN 12.676 -2.756 1893 10 11.624 0.631 0 0 11.624 0.631 10.091 0.693 1893 11 3.370 -1.894 0 0 3.370 -1.894 2.884 -0.785 1893 12 -1.996 -0.252 0 0 -1.996 -0.252 -5.172 -1.833 1894 1 NaN NaN NaN NaN NaN NaN -4.561 1.183 1894 2 NaN NaN NaN NaN NaN NaN -6.819 -2.152 1894 3 NaN NaN NaN NaN NaN NaN 3.336 2.753 1894 4 NaN NaN NaN NaN NaN NaN 7.065 0.059 1894 5 NaN NaN NaN NaN NaN NaN 13.058 -0.175 1894 6 NaN NaN NaN NaN NaN NaN 18.770 0.475 1894 7 24.116 1.533 1 0 NaN NaN 21.586 0.598 1894 8 19.484 -1.940 0 0 19.484 -1.940 18.331 -1.498 1894 9 NaN NaN NaN NaN NaN NaN 16.350 0.918 1894 10 NaN NaN NaN NaN NaN NaN 9.441 0.044 1894 11 1.921 -3.344 0 0 1.921 -3.344 0.934 -2.735 1894 12 -2.421 -0.677 0 0 -2.421 -0.677 -4.306 -0.967 1895 1 -4.502 -0.353 0 0 -4.502 -0.353 -6.375 -0.630 1895 2 -6.379 -3.307 0 0 -6.379 -3.307 -8.280 -3.613 1895 3 0.481 -1.697 0 0 0.481 -1.697 -1.321 -1.904 1895 4 NaN NaN NaN NaN NaN NaN 6.433 -0.573 1895 5 NaN NaN NaN NaN NaN NaN 14.301 1.068 1895 6 NaN NaN NaN NaN NaN NaN 19.251 0.956 1895 7 NaN NaN NaN NaN NaN NaN 18.958 -2.029 1895 8 NaN NaN NaN NaN NaN NaN 19.355 -0.474 1895 9 NaN NaN NaN NaN NaN NaN 16.159 0.727 1895 10 NaN NaN NaN NaN NaN NaN 6.306 -3.091 1895 11 NaN NaN NaN NaN NaN NaN 4.671 1.002 1895 12 NaN NaN NaN NaN NaN NaN -2.308 1.031 1896 1 NaN NaN NaN NaN NaN NaN -7.277 -1.532 1896 2 NaN NaN NaN NaN NaN NaN -5.186 -0.518 1896 3 NaN NaN NaN NaN NaN NaN -2.575 -3.158